Browsing by Author "Mohapatra S."

Now showing 1 - 7 of 7

Computer vision-guided intelligent traffic signaling for isolated intersections
(2019) Kumaran S.K.; Mohapatra S.; Dogra D.P.; Roy P.P.; Kim B.-G.
Computer vision-guided traffic management is an emerging area of research. Intelligent traffic signal control using computer vision is a less explored area of research. In this paper, we propose a new approach of traffic flow-based intelligent signal timing by temporally clustering optical flow features of moving vehicles using Temporal Unknown Incremental Clustering (TUIC) model. First, we propose a new inference scheme that works approximately 5-times faster as compared to the one originally proposed in TUIC in a dense traffic intersection. The new inference scheme can trace clusters representing moving objects that may be occluded while being tracked. Cluster counts of approach roads have been used for signal timing for traffic intersections. It is done by detecting cluster motion inside the regions-of-interest (ROI) marked at the entry and exit locations of intersection approaches. Departure rates are learned using Gaussian regression to parameterize traffic variations. Using the learned parameters as a function of cluster count, an adaptive signal timing algorithm, namely Throughput and Average Waiting Time Optimization (TAWTO) has been proposed. Experimental results reveal that the proposed method can achieve better average waiting time and throughput as compared to the state-of-the-art signal timing algorithms. We intend to publish two datasets as part of this work for enabling the research community to explore computer vision aided solutions for typical problems such as intelligent traffic controlling, violation detection in chaotic road intersections, etc. � 2019 Elsevier Ltd
Distributed Multi-authority Attribute-Based Encryption Using Cellular Automata
(2019) Pradhan A.; Sethi K.; Mohapatra S.; Bera P.
Cellular automata (CA) has attracted the attention of research communities for its applications in the design of symmetric and public-key cryptosystems. The strength of cellular automata lies in its inherent data parallelism, which can help accelerate access control mechanisms, and its information scrambling capabilities, which can enhance the security of the system. Also, the cryptosystems designed using CA do not involve number-theoretic methodologies that incur large computational overhead like traditional cryptosystems. However, existing CA-based cryptosystems encompass a limited set from the set of all possible transition rules indicating the existence of CA cryptosystems which are possibly unbreakable but have not been explored sufficiently. Thus, they have not yet been considered for applications involving fine-grained access control for heterogeneous access to the data. In this paper, we propose a secure distributed multi-authority attribute-based encryption using CA, which has potential applications in cloud systems. Our cryptosystem adopts the concept of multi-authority attribute-based access control where the encryption and attribute distribution use reversible CA, and policy satisfiability is achieved by Turing-complete CA in a distributed environment. We illustrate the practical usability of our proposed cryptosystem, in terms of efficiency and security, by extensive experimental results. � 2019, Springer Nature Switzerland AG.
Does climate-smart agriculture technology improve farmers' subjective well-being? Micro-level evidence from Odisha, India
(2025) Sahoo D.; Mohanty P.; Mishra S.; Behera M.K.; Mohapatra S.
Since the global population is expected to reach 9.7 billion by 2050, food production must increase by 70% in the next 30 years to provide food security in the face of climate change. Implementing climate-smart agriculture technology (CSAT) is essential for ensuring food security and promoting economic growth in the context of sustainable agriculture. Climate change and weather patterns significantly affect agricultural yield, necessitating the implementation of more efficient, productive, and climate-resilient techniques. However, the use of CSAT is a behavioural decision that affects the subjective well-being of the users. Using smart agricultural practices reduces climate change's impact on agricultural productivity and promotes sustainable agriculture, improving adopters' welfare. This study examines how the use of CSAT affects rural households' subjective well-being in Odisha, India. The result of the study shows that the use of CSAT significantly affects the subjective well-being of the farmers. The measured impact is 0.149, 0.181, and 0.144 for farmers whose intensity is 0.251�0.500, 0.501�0.750, and 0.751 and above, respectively, as compared to farmers whose intensity is 0.0�0.250. This implies greater satisfaction for farmers who engage in the moderate use of CSAT practices. Low utilization of technology may not yield benefits for farmers, while the adoption of advanced technology may not be economically viable. Additionally, CSAT is not easily available to households residing in low-lying areas, preventing them from improving their well-being. Only a small number of landowners in impoverished areas utilize CSAT. Therefore, it is necessary to evaluate government regulations regarding land and tenancy as well as develop measures for farmers to adapt to new technologies. � 2024 The Authors
Erosion behavior of glass-epoxy composites filled with SiC from bamboo leaf
(2011) Mantry S.; Mohapatra S.; Mohapatra S.; Singh S.K.; Mandal A.; Satapathy A.
The present article reports the processing, mechanical characterization and solid particle erosion response of a new class of multi phase composites consisting of epoxy resin reinforced with E-glass fiber and SiC particulates. The SiC powder synthesized from bamboo leaf employing DC extended thermal plasma technique has been used as the filler in this glass-epoxy composite. It is observed that with increasing percentage of filler particles, there is a decline in tensile and flexural strength, but there is significant improvement in hardness and erosion wear performance. It is also observed that, among all the factors, impact velocity is the most significant factor followed by filler percentage and impingement angle, while erodent size has the least significance on erosion of the hybrid composite. Taguchi's orthogonal arrays have been used to identify the controlling factors influencing the erosion wear rate. � Carl Hanser Verlag GmbH & Co. KG.
An improved Filtered-x Least Mean Square algorithm for acoustic noise suppression
(2014) Kar A.; Chanda A.P.; Mohapatra S.; Chandra M.
In the modern age scenario noise reduction is a major issue, as noise is responsible for creating disturbances in day-to-day communication. In order to cancel the noise present in the original signal numerous methods have been proposed over the period of time. To name a few of these methods we have noise barriers and noise absorbers. Noise can also be suppressed by continuous adaptation of the weights of the adaptive filter. The change of weight vector in adaptive filters is done with the help of various adaptive algorithms. Few of the basic noise reduction algorithms include Least Mean Square algorithm, Recursive Least Square algorithm etc. Further we work to modify these basic algorithms so as to obtain Normalized Least Mean Square algorithm, Fractional Least Mean Square algorithm, Differential Normalized Least Mean Square algorithm, Filtered-x Least Mean Square algorithm etc. In this paper we work to provide an improved approach for acoustic noise cancellation in Active Noise Control environment using Filtered-x LMS (FXLMS) algorithm. A detailed analysis of the algorithm has been carried out. Further the FXLMS algorithm has been also implemented for noise cancellation purpose and the results of the entire process are produced to make a comparison. � Springer International Publishing Switzerland 2014.
A note on circular geodesics and phase transitions of black holes
(2019) Bhamidipati C.; Mohapatra S.
The circular motion of charged test particles in the gravitational field of a Reissner-Nordstr�m black hole in Anti de Sitter space-time is investigated, using a set of independent parameters, such as charge Q, mass M and cosmological constant ?=?3/l 2 of the space-time, and charge to mass ratio ?=q/? of the test particles. Classification of different spatial regions where circular motion is allowed, is presented, showing in particular, the presence of orbits at special limiting values, M=4/6Q and l=6Q. Thermodynamically, these values are known to occur when the black hole is on the verge of a second order phase transition, there by, giving an interesting connection between thermodynamics and geodesics of black holes. We also comment on the possibility of such a connection for black holes in flat spacetime in a box. � 2019 The Author(s)
Numerical Modeling of Native Defects in CVD Grown Diamond Photodetectors
(2018) Mohapatra S.; Sahu P.K.; Murty N.N.
Diamond based photoconductors intended for use as radiation detectors are simulated in this work in SYNOPSYS � Sentaurus TCAD. Simulations are carried out by including the model of native defects for single-crystal and poly-crystal diamond detectors grown by CVD process. The models are validated by comparing the simulations with the reported experimental data. The explanation of the results in terms of the diamond band-gap and the comparative analysis of the dark currents of both the detectors have also been presented. The temperature dependant simulation is also presented to substantiate the developed model at high temperature. � 2018 IEEE.